Maximizing outcomes in genitourinary cancers across the treatment continuum
Bibliographic record
Abstract
Key controversies concerning the management of genitourinary cancers across the treatment continua were discussed at the second annual Interactive Genitourinary Cancer Conference (IGUCC) held in February 2010 in Athens, Greece. Prostate cancer is the most common form of cancer among western men and prevention strategies are needed. Trials evaluating 5α-reductase inhibitors have reported beneficial and clinically meaningful results, but uptake remains low for primary prostate cancer prevention. Prostate cancer detection programmes are also important as curative treatments for advanced disease are unavailable. Two large landmark randomized controlled trials reported conflicting results concerning screening efficacy and uncovered high levels of over-diagnosis and potential over-treatment. Tailored management strategies after diagnosis are important and predictive markers that distinguish between aggressive and indolent tumours are needed. The majority of newly diagnosed cases of prostate cancer are clinically localized. Active surveillance of favourable risk patients may be beneficial in the intermediate term, while an integrated approach of multi-modality therapy in patients with adverse features is recommended. The benefits of new technologies such as high-intensity focused ultrasound (HIFU) and robotic prostatectomy have not been established in prospective randomized trials vs current standards of care. A multidisciplinary approach is essential to evolving the management of advanced prostate cancer into a chronic disease paradigm. Docetaxel plus prednisone is the standard first-line chemotherapy for patients with metastatic castration-resistant prostate cancer (mCRPC), but the optimal timing of chemotherapy initiation has not been addressed in randomized clinical trials. Retrospective analyses suggest that asymptomatic patients with adverse prognostic factors for survival may also benefit from receiving chemotherapy. Bladder cancer is a common malignancy and the most expensive cancer per patient. Non-muscle-invasive bladder cancer is a heterogenous disease that requires dynamic multidisciplinary management. Aggressive early intervention may be beneficial in some cases. Platinum-based therapies represent the first-line standard of care for advanced bladder cancer, but the maximum benefit may have been reached for conventional chemotherapies and new strategies are needed. Several ongoing clinical trials are assessing combination chemotherapy and targeted therapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".